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Over the past few decades, the use of Global Precipitation Data (GPD) as an alternative to ground station (GS) data has gained significant popularity due to the inherent limitations of GS, such as incomplete records and uneven distribution of rainfall stations. The main challenge in using GPD lies in the fact that no single product currently exhibits high accuracy on a global scale, and GPD products are typically more suitable for specific regions. This study compares two high-resolution GPD products, the Global Precipitation Measurement (GPM) and the European Centre for Medium-Range Weather Forecast Reanalysis V5-Land (ERA5-Land), in the Greater Bandung area. The Multi-Criteria Decision Making (MCDM) method is applied to determine which GPD is most suitable for the study area, considering three objective functions. The analysis reveals that, in general, the accuracy of both GPM and ERA5-Land is relatively low, with Root Mean Square Error (RMSE), bias (B), and correlation coefficient (R) values reaching 48.069, 18.355, and 0.003, respectively, for daily temporal scales, and 328.040, 267.070, and 0.092 for monthly scales. Based on MCDM results, GPM is more preferable for monthly rainfall data, while ERA5-Land is more preferable for daily rainfall data. The results of this study enhance the understanding of uncertainties in precipitation products, aiding in product quality improvement and informing future product selection decisions.

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Comparative Analysis of High-Resolution Global Precipitation Data in Greater Bandung Area Using Multi-Criteria-Decision-Making

  • 会议论文

  • 发表日期：

    2026年

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  • Obaja Triputera Wijaya,
  • Danurendro Ramadhani Putro,
  • Theo Senjaya

摘要

Over the past few decades, the use of Global Precipitation Data (GPD) as an alternative to ground station (GS) data has gained significant popularity due to the inherent limitations of GS, such as incomplete records and uneven distribution of rainfall stations. The main challenge in using GPD lies in the fact that no single product currently exhibits high accuracy on a global scale, and GPD products are typically more suitable for specific regions. This study compares two high-resolution GPD products, the Global Precipitation Measurement (GPM) and the European Centre for Medium-Range Weather Forecast Reanalysis V5-Land (ERA5-Land), in the Greater Bandung area. The Multi-Criteria Decision Making (MCDM) method is applied to determine which GPD is most suitable for the study area, considering three objective functions. The analysis reveals that, in general, the accuracy of both GPM and ERA5-Land is relatively low, with Root Mean Square Error (RMSE), bias (B), and correlation coefficient (R) values reaching 48.069, 18.355, and 0.003, respectively, for daily temporal scales, and 328.040, 267.070, and 0.092 for monthly scales. Based on MCDM results, GPM is more preferable for monthly rainfall data, while ERA5-Land is more preferable for daily rainfall data. The results of this study enhance the understanding of uncertainties in precipitation products, aiding in product quality improvement and informing future product selection decisions.